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Make Data Work
Oct 15–17, 2014 • New York, NY
Jake Vanderplas

Jake Vanderplas
Director of Research, Physical Sciences, eScience Institute, University of Washington

Website

Jake Vanderplas is the director of research in the physical sciences at the University of Washington’s eScience Institute, where his research is primarily in the area of data-driven astronomy and astrophysics. In addition, Jake is a maintainer and/or frequent contributor to many open source Python projects, including scikit-learn, scipy, mpld3, and others. He occasionally blogs about Python, machine learning, data visualization, open science, and related topics at Jakevdp.github.io.

Sessions

9:00am–5:00pm Wednesday, 10/15/2014
Data Science
Location: 1 E12/1 E13
Fernando Perez (Lawrence Berkeley National Laboratory and UC Berkeley), Brian Granger (Cal Poly San Luis Obispo), Andy Terrel (NumFOCUS), Peter Wang (Anaconda Powered by Continuum Analytics), Jake Vanderplas (eScience Institute, University of Washington), Olivier Grisel (Inria & scikit-learn), Travis Oliphant (Continuum Analytics, Inc.), Wes McKinney (Two Sigma Investments), Trent Nelson (Continuum Analytics), Kayur Patel (Google), Kester Tong (Google)
Average rating: ****.
(4.43, 14 ratings)
Python has become an increasingly important part of the data engineer and analytic tool landscape. Pydata at Strata provides in-depth coverage of the tools and techniques gaining traction with the data audience, including iPython Notebook, NumPy/matplotlib for visualization, SciPy, scikit-learn, and how to scale Python performance, including how to handle large, distributed data sets. Read more.